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This question evaluates understanding of dynamic programming and the ability to compute optimal path sums on triangular data structures, assessing algorithmic reasoning and complexity awareness.

  • medium
  • Upstart
  • Coding & Algorithms
  • Data Scientist

Find Minimum Path Sum in Integer Triangle

Company: Upstart

Role: Data Scientist

Category: Coding & Algorithms

Difficulty: medium

Interview Round: Onsite

##### Scenario Tech interview round 1 – dynamic programming challenge ##### Question Given a triangle of integers, find the minimum path sum from top to bottom. At each step you may move to adjacent numbers on the row below. ##### Hints Bottom-up DP or memoised recursion, O(n²) time, O(n) space.

Quick Answer: This question evaluates understanding of dynamic programming and the ability to compute optimal path sums on triangular data structures, assessing algorithmic reasoning and complexity awareness.

Given a triangle of integers (a list of rows where row i has i+1 elements), return the minimum path sum from top to bottom. At each step, you may move to one of the two adjacent numbers directly below the current position (from index j in row r to index j or j+1 in row r+1).

Constraints

  • 1 <= len(triangle) <= 200
  • len(triangle[i]) == i + 1 for all valid i
  • -10^4 <= triangle[i][j] <= 10^4
  • Answer fits in a 32-bit signed integer

Hints

  1. Work bottom-up: the minimum path to a cell is its value plus the min of the two reachable cells below it.
  2. Use a 1D DP array initialized with the last row to achieve O(n) extra space.
  3. Iterate from the second-last row up to the top, updating DP in place.
Last updated: Mar 29, 2026

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